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乳腺癌癌因性疲乏管理知识图谱的构建

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  • NETL
  • NSTL
  • 万方数据
目的 构建乳腺癌癌因性疲乏管理的知识图谱,为健康领域个性化推荐系统和智能问答系统的开发奠定基础.方法 采用 自顶向下的方法构建乳腺癌癌因性疲乏管理知识图谱.首先,采用文献研究法建立疲乏管理知识库,为图谱构建提供知识来源;其次,构建知识图谱的本体模式层,完成知识建模;再次,采用人工方法基于本体模式层对知识库中的内容进行知识抽取,并以三元组标准格式将非结构化文本数据转化为结构化数据;最后,采用MongoDB数据库和VUE前端技术实现知识图谱的可视化呈现.结果 共纳入11篇指南、4篇专家共识、6篇证据总结作为图谱的知识来源.图谱本体模式层包括8个实体类型和关系类型,人工抽取124个实体,形成121组三元组,最终完成乳腺癌癌因性疲乏管理知识图谱的可视化.结论 乳腺癌癌因性疲乏管理知识图谱以图形形式呈现疲乏管理知识脉络,能够提供知识存储和知识搜索功能.
Construction of a knowledge graph for management of cancer-related fatigue in breast cancer survivors
Objective To construct a knowledge graph for management of cancer-related fatigue in breast cancer survivors,and to lay a foundation for developing personalized recommender system and intelligent question answering system in the health field.Methods A top-down approach was used to construct the knowledge graph.First,we constructed the data resource by evidence-based litera-ture review;second,we built domain ontology to normalize the knowledge of cancer-related fatigue management;third,we ma-nually extracted knowledge from the data resource and translated the knowledge from unstructured text to structured data as"Enti-ty-Relation-Entity"triples;and finally,we used the MongoDB database and Vue.js for knowledge visualization.Results A total of 11 guidelines,4 expert consensus statements,and 6 evidence summaries were included for data resources.The domain ontology covered 8 entity types and 8 relationship types.A total of 124 entities were manually extracted to form 121 triples.Finally,we de-veloped the visual presentation of the cancer-related fatigue management for breast cancer survivors.Conclusion The knowledge graph for management of cancer-related fatigue in breast cancer survivors can present the relationships among fatigue management knowledge,and is useful in knowledge storage and knowledge retrieval.

breast cancercancer-related fatiguefatigue managementsymptom managementknowledge graphartificial intelligencedigital intelligenceoncology nursing

丁元旗、黄青梅、吴傅蕾、王玲、杨瑒、李军、袁长蓉

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复旦大学护理学院(上海,200032)

复旦大学附属肿瘤医院

南京大学社会学院

乳腺癌 癌因性疲乏 疲乏管理 症状管理 知识图谱 人工智能 数智化 肿瘤护理

国家自然科学基金资助项目上海市卫生健康委员会资助项目

7237404820234Y0088

2024

10.3870/j.issn.1001-4152.2024.17.010

护理学杂志
华中科技大学同济医学院

护理学杂志

CSTPCD北大核心
影响因子：2.062
ISSN：1001-4152
年,卷(期)：2024.39(17)